{
  "status": "complete",
  "deployed_weight_revision": "37adef9b3917e4a3de0bb77f0db71089b7b82202",
  "expanded_candidate_revision": "4304e2898cd3e864be4a0787ebd7f37a0189229f",
  "candidate_branch": "v3-expanded-20261113",
  "trainable_parameters": 83886080,
  "optimizer_steps": 360,
  "training_runtime_seconds": 822.6722,
  "baseline_standard_acc": {
    "arc_easy": 0.87,
    "piqa": 0.79,
    "sciq": 0.94,
    "winogrande": 0.79
  },
  "expanded_standard_results": {
    "arc_easy": {
      "name": "arc_easy",
      "alias": "arc_easy",
      "sample_len": 100,
      "acc,none": 0.86,
      "acc_stderr,none": 0.03487350880197771,
      "acc_norm,none": 0.89,
      "acc_norm_stderr,none": 0.03144660377352203
    },
    "piqa": {
      "name": "piqa",
      "alias": "piqa",
      "sample_len": 100,
      "acc,none": 0.8,
      "acc_stderr,none": 0.04020151261036845,
      "acc_norm,none": 0.84,
      "acc_norm_stderr,none": 0.03684529491774711
    },
    "sciq": {
      "name": "sciq",
      "alias": "sciq",
      "sample_len": 100,
      "acc,none": 0.94,
      "acc_stderr,none": 0.02386832565759419,
      "acc_norm,none": 0.96,
      "acc_norm_stderr,none": 0.019694638556693237
    },
    "winogrande": {
      "name": "winogrande",
      "alias": "winogrande",
      "sample_len": 100,
      "acc,none": 0.79,
      "acc_stderr,none": 0.04093601807403326
    }
  },
  "standard_sample_count_per_task": 100,
  "baseline_bf16_task_suite": 43,
  "expanded_bf16_task_suite": 43,
  "decision": "Retain existing V3 weights: no aggregate benchmark gain or BF16 task-suite gain. Expanded weights remain available on candidate branch.",
  "precision_note": "The training script gate compares quantized baseline with BF16 candidate. Final release decision instead uses previously measured BF1643/60 and identical standard benchmark settings.",
  "output_cap": 4096,
  "default_output_tokens": 1024,
  "generation_time_seconds": 110,
  "zerogpu_allocation_seconds": 120,
  "quota_reserve_seconds": 180
}